Responsibilities & Key Deliverables

Objective: A Data Analyst in the Data Insight and Analytics team is crucial for transforming raw data into actionable insights, enabling informed decision-making across the organization. Without this role, the company would struggle to identify trends, measure performance, and drive data-driven strategies, leading to potential inefficiencies and missed opportunities    

•    Identify trends and patterns in data
•    Measure performance and KPIs effectively
•    Drive data-driven strategies and decisions
•    Optimize processes and improve operational efficiency
•    Gain a competitive edge through informed insights"                            
                            

"1)Data Collection and Management:
•    Gather and organize raw data from various sources.
•    Ensure data accuracy and integrity through rigorous validation processes.
2)Data Analysis:
•    Perform statistical analysis and build predictive models.
•    Identify trends, patterns, and correlations within datasets.
3)Reporting and Visualization:
•    Create comprehensive reports and dashboards to communicate findings.
•    Utilize visualization tools to present data in an accessible and understandable format.
4)Performance Monitoring:
•    Track key performance indicators (KPIs) and metrics.
•    Provide regular updates on business performance to stakeholders.
5)Strategic Recommendations:
•    Develop data-driven insights and recommendations to support business decisions.
•    Collaborate with cross-functional teams to implement data-driven strategies.
6)Process Improvement:
•    Identify opportunities for process optimization and efficiency gains.
•    Implement data-driven solutions to enhance operational workflows.
7)Stakeholder Communication:
•    Present findings and recommendations to senior management and other stakeholders.
•    Facilitate workshops and training sessions to improve data literacy within the organization.
8)Compliance and Governance:
•    Ensure adherence to data privacy and security protocols.
•    Maintain documentation and compliance with regulatory requirements.
9)Tool and Technology Management:
•    Stay updated with the latest data analysis tools and technologies.
•    Recommend and implement new tools to enhance data analytics capabilities.
10)Ad-Hoc Projects:
•    Undertake special projects and analyses as assigned by superiors.
•    Provide support for other departments as needed."    

Experience

    3-5 years of experience in a Data Analyst role, Experience working with large datasets and performing complex data analysis

Industry Preferred

Manufacturing - Preferably Auto & Ancillary Business

Qualifications

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

General Requirements

Primary Skills (Technical Skills):
•    Proficiency in statistical analysis and data mining techniques.
•    Strong knowledge of SQL and experience with databases.
•    Expertise in data visualization tools such as Tableau, Power BI, or similar platforms.
•    Proficiency in programming languages such as Python, R, or SAS.
•    Demonstrated ability to interpret complex data and translate it into actionable insights.
•    Experience in building and implementing predictive models and algorithms"

                            
Secondary Skills (Functional)        Understanding best practices and benchmarking processes in related industry                    
                            
Behavioural Competencies/ Skills      

 "Anticipating and leveraging business opportunities
Fruitful utilisation of Resources,
Giving Customer Delight,
Excellent communication and collaboration skills.
Strong problem-solving and analytical abilities.
Ability to work independently and as part of a team."